Research On Security And Optimization Strategies Of The Network Based On Game Theory

With the popularity of the Internet,people pay more and more attention to network security and optimization problems.On the one hand,people want to study the new network defense technology to ensure the security of the network;on the other hand,the network administrator wants to improve the cost of the network.Making the minimum cost of network is also a hot issue of concern.In this paper,the game theory is introduced to improve the network security and optimize strategies of the network.The paper is divided into three parts:The first part is the study on honeypot based on evolutionary game theory.We study the evolutionary process of network attack and defense according to their own payoff functions.The defense side is a mixed system with normal system and honeypot system.Attackers represent the attack side.In the thesis,we consider the network as an ecological environment,and all the visitors is malicious attackers.We calculated the state of stable equilibrium(ESS)points and observe the evolutionary trend of two players,the experimental result show that honeypot is a kind of active defense means.The second part is the study of mimicry honeypot based on signaling game.We regarded the hybrid system which deploy common system and mimicry system as the signaling sender,while the receiver is the illegal attackers.The hybrid system will sent a normal signaling or mimicry honeypot signaling and the attacker chose to access,give up or access the system in condition.The conditions of Bayesian equilibrium is calculated by setting the payoff function of the sender and the receiver.Finally,the correctness of the equilibrium conditions is verified by Gambit simulation.This paper proves that the protection mechanism and the color warning coloration mechanism is effective by the parameters which satisfy the equilibrium.The last part is discussion on network optimization based on Cooperative Game Theory.Focusing on the deep space habitat network requirements of high reliability and expensivelinks,two impact factors to the network performance were regarded as a multi-objective optimization problem,which were network reliability and cost efficiency model,and the relations between the two factors were formalized.Thereafter,the Nash model of cooperative game was used to make a fairness compromise to the network reliability and cost efficiency,and the Nash bargaining solution set was acquired through the Matlab platform with CVX.Further,through changing the threat value dynamically and performing the repeated game,the Pareto optimal solution can be obtained which can ensure the fairness of reliability and cost efficiency simultaneously.Finally,the Nash bargaining method was applied to a typical spatial network topology,and describe in detail how to set up the link numbers and link capacity in order to reduce the cost when the network traffic and the link capacity were given.Proposed work is important for the deployment and optimization of the spatial network.